【摘要】 为实现电厂凝结水处理系统在动态波动进水条件下离子交换树脂寿命的准确预测，文章基于固定床动态实验，研究了进水电导率与进水流速对强酸强碱混床树脂除盐过程的影响规律，并构建了适用于动态工况的BDST预测模型。关键模型参数分析表明，树脂的平衡吸附容量N₀约为8.73×10⁴μS/cm，受进水条件影响不显著；反应速率常数K_a与流速呈正相关，证实了本实验条件下离子交换过程主要受液膜传质控制。模型验证结果表明，其在单一稳定工况及模拟实际“泄漏-维修”波动工况下，穿透时间预测相对误差均在±5%以内。该模型可为凝结水精处理系统实现树脂工作状态的实时评估与预判性运行提供有效的理论工具。更多还原

【Abstract】 To achieve accurate prediction of the service life of ion-exchange resins in power plant condensate polishing systems under dynamically fluctuating influent water quality, this study investigated the influence of influent conductivity and flow rate on the desalination process of strong-acid strong-base mixed-bed resins through fixed-bed dynamic experiments. A BDST predictive model suitable for dynamic operating conditions was developed. Analysis of key model parameters revealed that the equilibrium adsorption capacity（N₀） of the resin was approximately 8.73×10⁴ μS/cm, which was not significantly affected by the influent conditions. In contrast, the mass transfer rate constant（K_a） showed a positive correlation with flow rate, confirming that the ion-exchange process in this experimental system was primarily controlled by liquid-film mass transfer. The model was validated, showing prediction errors for breakthrough time of less than 5% for both single steady-state conditions and simulated actual “leakage-repair” fluctuating conditions. This model provides an effective theoretical tool for the real-time assessment of resin working status and predictive operation in condensate polishing systems.更多还原